CMSIS_5/CMSIS/NN/Source/SoftmaxFunctions/arm_softmax_with_batch_q7.c

/*
 * Copyright (C) 2010-2019 Arm Limited or its affiliates. All rights reserved.
 *
 * SPDX-License-Identifier: Apache-2.0
 *
 * Licensed under the Apache License, Version 2.0 (the License); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

/* ----------------------------------------------------------------------
 * Project:      CMSIS NN Library
 * Title:        arm_softmax_with_batch_q7.c
 * Description:  Q7 softmax function
 *
 * $Date:        05. August 2019
 * $Revision:    V.1.0.0
 *
 * Target Processor:  Cortex-M and Cortex-A cores
 *
 * -------------------------------------------------------------------- */

#include "arm_math.h"
#include "arm_nnfunctions.h"

/**
 *  @ingroup groupNN
 */

/**
 * @addtogroup Softmax
 * @{
 */

  /**
   * @brief Q7 softmax function with batch parameter
   * @param[in]       vec_in      pointer to input vector
   * @param[in]       nb_batches  number of batches
   * @param[in]       dim_vec     input vector dimention
   * @param[out]      p_out       pointer to output vector
   *
   * @details
   *
   *  Here, instead of typical natural logarithm e based softmax, we use
   *  2-based softmax here, i.e.,:
   *
   *  y_i = 2^(x_i) / sum(2^x_j)
   *
   *  The relative output will be different here.
   *  But mathematically, the gradient will be the same
   *  with a log(2) scaling factor.
   *
   */

void arm_softmax_with_batch_q7(const q7_t * vec_in, const uint16_t nb_batches,const uint16_t dim_vec, q7_t * p_out )
{
     for(int i=0; i<nb_batches; i++)
     {
         arm_softmax_q7(vec_in, dim_vec, p_out );
         vec_in += dim_vec;
         p_out += dim_vec;
     }
}

/**
 * @} end of Softmax group
 */